{"id":"W3136194041","doi":"10.1109/ictmod49425.2020.9380587","title":"Data Science and Strategic Complexity","year":2020,"lang":"en","type":"article","venue":"","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Big data; Competition (biology); Phenomenon; Competitive intelligence; Blindness; Data science; Computer science; Noise (video); Risk analysis (engineering); Business; Knowledge management; Artificial intelligence; Data mining; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03103764,0.0008385889,0.001656135,0.0052118,0.003531403,0.01577206,0.001578614,0.004792615,0.005358991],"category_scores_gemma":[0.06460378,0.0006809093,0.0008780291,0.004296405,0.02844433,0.01770728,0.007735282,0.008678935,0.000976289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006021343,"about_ca_system_score_gemma":0.007928083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759826,"about_ca_topic_score_gemma":0.001593568,"domain_scores_codex":[0.9734895,0.01524257,0.001655904,0.002822587,0.005916007,0.0008733508],"domain_scores_gemma":[0.8739523,0.1045211,0.003982275,0.008986292,0.005672393,0.002885602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008862664,0.000009034405,0.0004031845,0.0001202666,0.00002709224,0.00004519607,0.0003335408,0.0008339192,0.00005107022,0.9849088,0.004385622,0.008873452],"study_design_scores_gemma":[0.000005349992,0.000006490776,0.0001145024,0.00009280258,0.000003984237,0.00003943624,0.0002104041,0.0008738297,0.00003977088,0.9793648,0.01924001,0.00000860885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02048238,0.0707281,0.2695179,0.4875027,0.004600612,0.0002767898,0.0009395448,0.0002927165,0.1456593],"genre_scores_gemma":[0.7581903,0.05757656,0.1162434,0.03999928,0.01177473,0.0008268455,0.00103466,0.0002418442,0.01411242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03103764,"threshold_uncertainty_score":0.1641447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5562792680358895,"score_gpt":0.2929133952895174,"score_spread":0.263365872746372,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}